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NORAD is using artificial intelligence to see the threats it used to miss – C4ISRNet – C4ISRNet

WASHINGTON The U.S. military command charged with watching and protecting North American airspace is now using artificial intelligence to detect the threats that previously slipped its notice.

The new capability, named Pathfinder, fuses data from military, commercial and government sensors to create a common operating picture for North American Aerospace Defense Command and U.S. Northern Command.

It essentially takes and ingests aggregates data from multiple systems, data that would in the past have been ... left on the cutting room floor and not analyzed or assessed in a timely manner, said Gen. Glen VanHerck, who commands NORAD and USNORTHCOM, during the Air Force Associations virtual Air Warfare Symposium last week. The Pathfinder program uses machine learning to help us analyze that data from multiple systems not only military systems, but commercial systems, other government agency systems.

Previously that data stayed in separate systems, preventing NORAD from seeing the whole picture and allowing potential threats to slip through unnoticed. VanHerck pointed to a 2015 incident when a gyrocopter landed on the White House lawn as an example of how stovepiped systems prevented NORAD from seeing a potential threat.

When you go back and look at that scenario, when you look at those systems that monitor the national Capitol region individually, no single system had full awareness or saw that gyrocopter, he explained.

Pathfinder solves that problem by taking the data from each of those systems and fusing it into a common operating picture. In developing Pathfinder, NORAD virtually recreated the 2015 event by plugging the data from that day into its new AI-machine learning capability.

We took Pathfinder and applied it to the available systems, the actual data, and used Pathfinder capabilities to assess that data, said VanHerck. And sure enough, there that gyrocopter was and he was easily detected by that point.

To prototype pathfinder, NORAD partnered with the Defense Innovation Unit, a Pentagon organization that specializes in using emerging commercial technologies for military purposes. DIU Director Mike Brown said in December that Pathfinder was completed in record time just a few months over a year.

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In February, Kinetica announced it received a $100 million, five-year contract from the U.S. Air Force to use the Kinetica Streaming Data Warehouse for Pathfinder. The companys service ingests, analyzes and visualizes massive data sets in order to model possible outcomes and assess risk, according to Kineticas description.

Were using it today, said VanHerck. Its out in our fields and our sectors right now. Historically our sectors were very manually driven phone calls to pass data, etc. Today we fuse all that data together, and were seeing the picture much more real-time and much more in an automatic type of digital environment.

Pathfinder can fuse data from more than 300 sensors to build its common operating picture, Brown noted. Beyond helping NORAD find more potential threats, Pathfinder also enables operators to move faster to assess those threats.

We dramatically reduced their decision time they have about 12 minutes to make a decision if they really thought there was an attack coming in over North American airspace and weve cut minutes off that by giving them this common operating picture, said Brown.

In many ways, Pathfinder is a microcosm of the Pentagons Joint All Domain Command and Control concept, which seeks to use AI and emerging technologies to connect every sensor to the best shooter.

What weve been able to do with NORAD in this fusing of sensor data and providing a common operating picture for better decision making, if you think about it, thats the guts of whats in JADC2, said Brown. That technology is going to continue to have broad applicability. And I wont be surprised at all as we work on some other projects to see other applications of that basic technology be delivered.

I absolutely believe it can be a model for the Department of Defense, said VanHerck. It lays the foundation for improved data-driven decision-making and enhanced capability.

Defense News Deputy Editor and Senior Pentagon Correspondent Aaron Mehta contributed to this report.

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Decort Partners with Perfect Corp. to Launch YouCam’s New Artificial Intelligence-Driven Skincare Diagnostic Technology That Debuted At CES 2021 -…

"As a leader in Japanese beauty, we pride ourselves on offering our customers a meaningful, innovative and highly personalized approach to beauty. We are thrilled to be working with Perfect Corp. to integrate this platform into the consumer's discovery of Japanese skincareon Decorte.com and to ensure we deliver a high-touch experience that addresses key skincare concerns," says Sharon del Valle, GM KOS America. "Millions of customers around the world turn to the brand as a destination for their skincare solutions, and most especially for hydration. For the first time, we are able to easily demonstrate to consumers their hydration needs and then quickly link to solutions that best fit their needs such as our bestselling Moisture Liposome Serum with its groundbreaking proprietary technology for hydration. The combination of Perfect Corp.'s platform with our products allows us to connect with the consumer in a seamless way to help them achieve the radiant, smooth, glowing skin that the Japanese are known for."

"We are thrilled to partner with Decort to integrate our most advanced AI-powered skin diagnostic technology for web with tracking for hydration and other key skin health concerns," said Perfect Corp. Founder and CEO, Alice Chang. "It's an honor to partner with such a forward-thinking and innovative skincare brand like Decort and help guide beauty consumers on their skin health journey with the help of YouCam's beauty tech."

Decort will also offer customers YouCam's award-winning beauty try-on technology on the brand website and leverage Perfect Corp.'s artificial intelligence (AI) and augmented reality (AR) innovation. The virtual try-on will help the brand enrich the online experience, increase consumer engagement and allow the North American consumer to discover Decort, Japan's best kept beauty secret.

About DecortEstablished in 1970, Decort is Japan's best-kept beauty secret and beloved by millions of women in Asia. The brand embodies the best of Japanese beauty, and its mission has always been to provide the highest quality skincare and makeup products with unique textures for maximum effectiveness. Decort, has partnered with world-renown universities and acclaimed scientists for decades to deliver products that truly exceed the expectations of each customer.

About KOS CorporationKOSE Corporation was founded in Japan in 1946 by Kozaburo Kobayashi with a vision and passion to provide people during the post-war period with hope and dreams. KOSE continues the legacy of its founder with a commitment to consumers around the world of creating quality skincare, makeup, fragrance, hair care and body care products that exceed expectations. With research and innovation at its core, KOSE has over 800 registered patents. Today, the company's products are sold in over 34 countries and territories with a portfolio of 38 brands that include Decorte, Sekkisei, Addiction, Tarte, Jill Stuart Beauty, Stephen Knoll New York, and Awake. KOSE brands sell in multiple channels including department stores, specialty stores, drug stores and direct.

About Perfect Corp.With over 900 Million downloads globally, Perfect Corporation is dedicated to transforming how consumers, content creators and beauty brands interact together through AI and AR technologies. Our experienced team of engineers and beauty aficionados are pushing the frontiers of technology to create the beauty platform of the future a fluid environment where individuals express themselves, learn the latest about fashion and beauty, and enjoy instant access to the products from their favorite brands. Further information about Perfect Corp. can be found atperfectcorp.comandLinkedIn.

SOURCE Decort

http://www.decortecosmetics.com

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Artificial Intelligence Platform Enhances Detection Performance of Visual Inspection Machines From: Stevanato Group S.p.a – Healthcare Packaging

Stevanato Group, a global provider of integrated containment and delivery systems to the biopharmaceutical and life sciences industries, has launched an Artificial Intelligence platform, based on Deep Learning (DL) models, designed to leverage the benefits of human-like decision-making in automatic visual inspection equipment. The platform is made to allow pharma companies to overcome the traditional trade-off between detection rate and false rejection rate, ensuring robust and replicable results. False rejects can be significantly reduced and the detection rate improved, yielding up to 99.9% accuracy, both for particle inspection and cosmetic defects detection.

DL is particularly beneficial when applied to difficult-to-inspect and high-value biotech drugs, as it allows pharma companies to achieve higher productivity while preserving drug integrity. Drugs in the form of suspensions or lyophilized cakes frequently challenge available vision tools, causing misinterpretations of supposed defects. Artificial Intelligence mitigates misclassification and reduces costly re-inspection, says the company.

Through its partnership with Microsoft and the adoption of Microsoft Azure platform, Machine Learning, and AI features, Stevanato Group intends to deliver "smart" equipment compliant with strict pharmaceutical data management and security requirements, while improving inspection performance and reducing costs related to production reparametrization. The company reports the certified cloud-based platform is compliant with U.S. CFR 21 Part 11 and EU GMP Annex 11, meets data integrity needs, and offers advanced monitoring tools such as heat maps and confusion matrix for model performance evaluation.

Incorporating new technologies can be challenging for pharma companies, as it usually requires them to adapt internal processes and invest time and resources. The company provides a team of vision and AI engineers to bring an accurate data analysis service with continuous support for tasks from image collection to model validation.

Key features of the platform include:

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How Online Privacy Issues Will Shape Future Use Of Artificial Intelligence In Advertising – Forbes

Privacy restrictions are pushing many marketer toward the use of artificial intelligence in order to ... [+] delive more targeted messages.

The trend toward greater focus on privacy issues has been going on for some time and is starting to come to a head.More restrictions on the sharing and merging of data on individuals has been leading to advertisers to look for effective ways to target and reach consumers, including using the use of behavioral targeting supplemented by the use of artificial intelligence (AI).

At a time when privacy regulations are sometimes fragmented and confusing but changing, it is critically important for marketers to monitor changes in the regulatory environment.Against this backdrop, I interviewed Sheri Bachstein, IBM's Global Head of Watson Advertising to get her insights and predictions on the future of privacy regulation and how it will affect advertisers, particularly as regards the use of AI and came away with three major takeaways:

1)The need for standard federal regulation of data privacy in the U.S. is pressing.

The European Unions General Data Protection Regulation and the California Consumer Privacy Act are already leading to the devaluation of traditional third-party cookies and the way many advertisers do business.Yet, the lack of uniform regulation creates a significant gray area for companies who want to scale and use AI in targeting, creating problems for technology companies and marketers.

Sheri Bachstein, Global Head of IBM's Watson Advertising

Bachstein believes that federal legislation as opposed to a patchwork of state laws is needed in order to allow for standards that allow marketers to operate effectively while protecting consumer rights.Citing lack of agreement on what sensitive data means to different constituencies, she asserts:We feel that data privacy principles such as transparency, user choice, as well as overall accountability should be taken into greater consideration when designing policy that is consumer driven. When you talk about sensitive data that is a great example of why we need industry standards. We all need to have the same definitions for types of data so that industry players work with clearly defined terms that are consistent across the U.S.

Bachstein also notes that industry needs to unite behind a standard playbook and the effort to get federal regulation should be include an array of industry partners, councils, and big tech companies collaborating with lawmakers in order to incorporate multiple viewpoints and ensure that the legislation is effective across the entire ecosystem.

2)Artificial intelligence is part of the solution to balancing privacy with the consumers right to choose; Unified IDs alone are not likely to be enough.

Even before the pandemic, there was growing consensus that users should have the ability to control their sensitive data and who they share it with. Moreover, there is emphasis in regulatory discussions on consumers knowing where their data is going and how it is used. At the same time, most consumers prefer to have personalized experiences online, including when they receive advertising in the digital context.Old style spray and pray ads have little utility for either marketers or consumers. As such, an alternative targeting solution that does not use data the consumers believe to be sensitive is needed.

Because of its ability to narrowly target messages based on behavioral online data (in some cases combined with consumer approved data that is less sensitive) artificial intelligence has the potential to help get advertising messages that the consumer wants to see, or, at least, does not find invasive.It is also the case that the use of AI combined with informing consumers on how data is used can help lead to a situation where consumers understand that marketers are using data for positive purposes.

A key to the promise of AI in advertising, says Bachstein, is its ability to use data to predict future behaviors without relying on consumer-level data.AI is a great path forward in this era of privacy because it can work with data to predict future behaviors, while simultaneously delivering valuable insights, she states, This allows publishers such as IBMs The Weather Channel, to create relationships with their consumers without the need to know specifically who the consumer is.

While some have suggested unified ID programs such as the The Trade Desks Unified ID 2.0, which is a pool of industry collaborators who seek to create to new, standardized ways of collecting user data without using third-party cookies, instead relying on audience data collected directly from the publisher, Bachstein does not see it as being able to replace what was available via third-party cookies.While we welcome industry collaboration and view this solution as progress, its important to note that there will be challenges that are dependent on which path the big tech companies will pursue, she says, Unified IDs may offer a partial fix, but we could ultimately run into the same privacy constraints moving ahead. While Unified IDs are a step in the right direction, the solution alone isnt enough to replace what marketers will lose when third-party cookies are phased out and mobile identifiers are changed to opt-in.

3)The use of artificial intelligence is poised to grow, lead to additional innovation, and drive the future of digital advertising.

Bachstein and IBM Watson estimate that only 25% of global companies understand the true value of AI but that this will grow as marketers realize its value. In addition, consumers have not historically understood the benefits of AI and in part due to its futuristic image are nervous about how its application affects their everyday lives.IBM Watson believe the onus is on industry to explain the benefits in a delicate way to get across that AI will be a force for good.

As cookies have the drawback of only tracking the past, AIs nature of being rooted in the future and leveraging data can deliver important insights without the publisher (e.g., IBMs The Weather Channel) needing to know who specifically the consumer is.Bachsteinsummarizes the situation regarding adoption as follows, As with any new technology, the pace of adoption and the consumers level of comfortability is ultimately tied directly to the education and experimentation of the technology itself. While there has not been a true resistance to AI today it is not widely used across the digital advertising ecosystem. Adoption will take time for some, while others will see the benefits immediately. We need to ensure that AI is no longer perceived as a buzzword, but rather a tangible solution that can deliver real outcomes while keeping consumer privacy intact.

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R.I., Google Cloud unveil first-in-the-nation virtual career center powered by artificial intelligence – The Boston Globe

Rhode Islanders can access the portal at BackToWorkRI.com.

The initiative, which was launched in July 2020 by Governor Gina M. Raimondo, was meant to be a public-private partnership designed to train, support, and hire Rhode Islanders who have been displaced by the pandemic.

Since last March, thousands of Rhode Islanders have lost their jobs, leaving them no other choice but to file for unemployment. Sarah Blusiewicz, assistant director of workforce development for the Rhode Island Department of Labor and Training, said she hopes that after filing for unemployment, Rhode Islanders will be using this career center as a tool to get back to work.

COVID-19 has left thousands of Rhode Islanders unemployed and searching for new, sustainable careers, said Blusiewicz. Our collaboration with Google Cloud has married accessible technology with government innovation to train and connect workers with the resources they need to access in-demand jobs.

The career center uses artificial intelligence and machine learning to connect the states workforce with new career opportunities while using familiar productivity tools within Google Workspace. Some of the features include the AI-powered CareerCompass Rhode Island bot, named Skipper, which uses data and machine learning to connect residents with potential new career paths and proven reskilling opportunities.

The center also integrates video calling via Google Meet, so job seekers can meet with career coaches and use screen-sharing to review and edit resumes and cover letters in real time. Coaches and job seekers are paired based on the coachs areas of expertise and language fluency. The center is available in English and Spanish now, but can support multiple languages.

Rhode Island is the first state in the country to use AI/ML and Google Workspace to deploy a job search platform at this scale, said Mike Daniels, vice president of Global Public Sector at Google Cloud. We hope that the integrated experience provided by our technology will help job seekers hit the ground running.

Here are answers to common questions about the platform:

How does applying for a job on this platform help eliminate the implicit bias issues that resume readers have?

According to Blusiewicz, the platform will help push forward resumes for skills-based hiring, unlike other platforms that use technology that eliminates job seekers who dont use the correct keywords. In addition, she said since job seekers can book video conferences with employers and recruiters, the portal encourages hiring managers to go above the resume reader noise.

In conversations with local employers, Blusiewicz said, For years, the theme has been, We have great job seekers that need jobs. Great jobs are out there, she said, but traditional job boards with resume readers that searched only for certain terms, coupled with information overload, eliminated good candidates.

How does the platform ensure that Rhode Islanders are using the center, and not people from other states?

Users are not required to plug in their address, Blusiewicz said, but the idea is to have this portal connected to Rhode Islands unemployment insurance system.

As Rhode Islanders are filling out those unemployment claims, we can then direct them to this site as the next step, she said.

The job I had before the pandemic is probably not going to come back. How will this portal help me?

The machine learning aspect of the center will help someone transition into another field. It will scan your profile and the work history that you upload, and pull administrative data on people who have skills similar to yours. Based on your existing skills, it will help match you to other sectors and positions that are available.

Will similar platforms be available in other states?

Daniels said Google Cloud is in conversations with a number of states about developing a similar career center, but he said he believes that this site will pave the way for neighboring states.

I think weve really thought deeply in terms of how we could incorporate the human element and how to make this a different feeling for someone, by curating it for them, instead of them simply going out and pounding the job boards, said Daniels. This is coming at exactly the right time.

Alexa Gagosz can be reached at alexa.gagosz@globe.com. Follow her on Twitter @alexagagosz.

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Knowing John McCarthy: The Father of Artificial Intelligence – Analytics Insight

It is undeniable that the technology industry has seen a wide variety of innovations over the years. The use of artificial intelligence at any level has proved to be fantastic. It automated a significant number of workers, reducing human effort and has led everyone to believe that there is even more to come.

As per report of Artificial Solutions, Recent results from a large survey of machine learning researchers predict AI will outperform humans in many activities in the next ten years, such as translating languages (by 2024) all the way to working as a surgeon (by 2053). Researchers also believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years.

Nearly every aspect of our lives is being affected by artificial intelligence machines in order to boost profitability and enhance our human capabilities. AI has become so ingrained in our everyday lives that its difficult to comprehend life without it.

As a result, we will be eternally grateful to those who were the driving force behind this incredible technology and who have contributed to making computer science even more human-like and efficient.

After playing a significant role in defining the area devoted to the creation of intelligent machines, John McCarthy, an American computer scientist pioneer and inventor, was called the Father of Artificial Intelligence. In his 1955 proposal for the 1956 Dartmouth Conference, the first artificial intelligence conference, the cognitive scientist coined the term. The intention was to see if there was a way to create a machine that could think abstractly, solve problems, and develop itself like a human. Every aspect of learning or any other feature of intelligence can, in principle, be described so precisely that a machine can be made to simulate it, he claimed.

Programming languages, the Internet, the web, and robots are just a few of the worlds technological innovations that John paved the way for. He coined the term Artificial Intelligence, invented the first programming language for symbolic computation, LISP (which is still used as a preferred language in the field of AI), and invented and established time-sharing. Human-level AI and commonsense reasoning were two of his major contributions.

According to Britannica, McCarthy received (1951) a doctorate in mathematics from Princeton University, where he briefly taught. He also held professorships at Dartmouth College (195558), the Massachusetts Institute of Technology (195862), and Stanford University (195355 and 19622000).

His efforts in the field of artificial intelligence have been immaculate throughout his career. McCarthys contributions were widely recognized and he received numerous awards. He has won a number of prestigious awards, including:

In 1971, he received the Turing Award from the Association for Computing Machinery.

In 1988, the Kyoto Prize was awarded.

In 1990, he was awarded the National Medal of Science in Statistical, Computational Sciences, and Mathematics by the United States of America.

In 2003, the Franklin Institute awarded him the Benjamin Franklin Medal in Cognitive Science and Computers.

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Proposals to meet global challenges in artificial intelligence and technology regulation – Brookings Institution

On this fifth episode from the Blueprints for American Renewal and Prosperity project, two Brookings experts discuss their blueprints for strengthening governance to meet key international challenges in the technology arena. Senior Fellow Landry Sign is co-author with Stephan Almond of A blueprint for technology governance in the post-pandemic world, and Senior Fellow Joshua Meltzer is co-author with Cameron Kerry of Strengthening international cooperation on artificial intelligence.

Also on this episode, Senior Fellow David Wessel, director of the Hutchins Center on Fiscal and Monetary Policy at Brookings, looks at the politics and the economics around raising the federal minimum wage to $15 an hour. Listen to this segment on Soundcloud.

See below for excerpts from the transcript.

Subscribe to Brookings podcastshereor oniTunes, send feedback email toBCP@Brookings.edu, and follow us and tweet us at@policypodcastson Twitter.

The Brookings Cafeteria is part of theBrookings Podcast Network.

EXCERPTS FROM THE DISCUSSION

MELTZER: So this is the paper coauthored with Cameron Kerry, and it focuses on strengthening international cooperation on artificial intelligence. And the basic approach of the paper is to identify what the existing approaches to AI policy development, both at the domestic level but also whats happening in various international and other multilateral forums to look at some of the challenges that are arising that essentially drive the need for international cooperation on AI, to look at the limitations of the current sort of mechanisms for international cooperation. And then we propose a range of policy recommendations for this administration to take forward to really build a more systemic approach to AI cooperation internationally.

SIGN: The paper, A Blueprint for Technology Governance in the Post Pandemic World, was coauthored with Stephen Almond. As a matter of fact, too often regulations struggle to keep pace with innovation, whether we speak about new ideas, products, or business models, they are hampered while citizens are so often left without options. So as government seeks to build back better in the context of the COVID-19 pandemic, a more agile, innovative, enabling approach to regulation is needed. So, our paper presents a blueprint for regulatory reforms offices to introduce a more innovative enabling approach to regulation across government and to seize the opportunities of technological change. So, I think we really try to ensure that on the one hand, the fast pace of technological innovation can continue. And on the other hand, the ability of governments to regulate those innovations such so that they serve the greater good is also enabled.

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Tenure Track Theoretical Physics of Complex Systems/Neurophysics/Artificial Intelligence in , for University of Ottawa – Physics

Due to the bilingual nature of our major undergraduate program, the successful candidate should be able to teach in French within a year of the appointment. The candidate is expected to lead a vigorous research program, and to contribute to teaching in the major and honours BSc in Physics as well as at the graduate level. We expect a demonstrated interest in interacting with other theorists and experimentalists in the department as well as in the Centre for Neural Dynamics and the Brain and Mind Research Institute, the Centre for Research in Photonics, the Max Planck-uOttawa Centre for Extreme and Quantum Photonics, and/or the Centre for Advanced Materials Research.

Application deadline: April 30, 2021.

The application material consists of a CV, a two-page summary of research plans and a one-page teaching statement, along with the contact information for three referees. The application should be emailed to Sophie Grimard (sgrimard@uottawa.ca), secretary to the Chair Prof. James Harden, by April 30, 2021.

http://www.uottawa.ca/vice-president-academic/faculty-relations/faculty-recruitment/openings

The University of Ottawa is committed to ensuring equity, diversity and inclusion in the scholarly and leadership environments of our students, staff, and faculty. Accordingly, we strongly encourage applications from Indigenous persons, visible minorities members (racialized persons), persons with disabilities, women, as well as from all qualified candidates with the skills and knowledge to productively engage with equitable, diverse and inclusive communities. Candidates who wish to be considered as a member of one or more designated groups are asked to complete the confidential Self-Identification Questionnaire, to be completed at the time of application. Please take note of this posting number. This questionnaire can be found online.

According to government policy, all qualified candidates are invited to apply; however, preference will be given to Canadians and permanent residents. When submitting your application, please indicate if you are legally entitled to work in Canada.The University of Ottawa provides accommodations for applicants with disabilities throughout the recruitment process. If you are invited to proceed in the selection process, please notify us of any accommodations that you require by contacting the Office of the Vice-Provost, Faculty Relations at 613-562-5958. Any information you send us will be handled respectfully and in complete confidence.

The University of Ottawa is proud of its 160-year tradition of bilingualism. Through its Official Languages and Bilingualism Institute, the University provides training to staff members and to their spouses in their second official language. At the time of tenure, professors are expected to have the ability to function in a bilingual setting.

Notice of Collection of Personal Information

In accordance with theFreedom of Information and Protection of Privacy Act(Ontario) and with University Policy 90, your personal information is collected under the authority of theUniversity of Ottawa Act, 1965 and is intended to be used for the purpose of and those consistent with your employment application and the administration of your employment relationship, if established. If you have any questions regarding this collection of personal information, please contact Office of the Vice-Provost, Faculty Relations at (613) 562-5958 or by email at vra.affairesprofessorales@uottawa.ca.

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Artificial Intelligence for ROP Screening and to Assess Quality of Care: Progress and Challenges – American Academy of Pediatrics

The goal of retinopathy of prematurity (ROP) screening is to detect the constellation of clinical signs that suggest a high risk of progression to retinal detachment so that urgent treatment can be given. At each screening episode, there are 3 considerations: whether urgent treatment is needed, whether follow-up screening is needed, and whether there is no risk of sight-threatening ROP so that the screening can stop. The decisions are based on a detailed examination of the retina focused on the severity (ie, stage), location (ie, zone), and degree of dilation and tortuosity of retinal blood vessels (ie, plus disease). If ROP is not present, the peripheral retina needs to be assessed to determine the degree of maturity of the retinal vessels; if they are mature or ROP detected earlier is definitely regressing, the screening can stop.

Telemedicine with artificial intelligence (AI) image analysis could transform ROP screening, especially in settings with an insufficient supply of ophthalmologists, which can happen either because of absolute workforce shortages

Address correspondence to Clare Gilbert, FRCOphth, MSc, MD, Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom. E-mail: clare.gilbert{at}lshtm.ac.uk

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How Gainesville city officials are using artificial intelligence to improve its road conditions – Gainesville Times

Data-driven developer RoadBiotics developed the road-rating software, and its been implemented by municipalities in 34 states and 14 countries.

Public works director Chris Rotalsky said the software provides an algorithm that takes pictures of roadways every 10 feet, and rates the road by segments and points.

Utilizing this system provides several benefits to the Public Works Department, said Rotalsky. Staff time for data input is reduced, and the citys street network is evaluated within a short timeframe while applying the same visual criteria for analysis to each segment.

According to RoadBiotics representatives, its all done through labeled image data. Road images are captured from a cars windshield camera, and through-machine learning and digital paint brushing, the AI begins to scan the roads.

What does the AI look for when assessing each road image? The machine is designed to check for everything from unsealed cracks to cold patches to potholes before determining a final grade.

The system grades city roads on a five-level scale from green to red.Dark green roads are optimal and in the best condition. Yellow and orange roads, graded between 2, 3 and 4 respectively, are declining road conditions. And the worst-conditioned roads are coded red and are rated a 5.

According to the Pittsburgh-based company representatives, road ratings and reports are posted on an interactive, GIS-based platform called RoadWay.

Those ratings and reports help the city prioritize which roads need immediate improvement.

The data provided from RoadBotics is combined with other rating criteria such as base condition, ride condition to help determine repair and resurfacing actions needed for the street network, said Rotalsky.

In 2018, the city did its first road assessment using the software, with most of the citys roads graded as green or yellow.

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